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VICReg: Variance-Invariance-Covariance Regularization for
  Self-Supervised Learning

VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning

11 May 2021
Adrien Bardes
Jean Ponce
Yann LeCun
    SSL
    DML
ArXivPDFHTML

Papers citing "VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning"

50 / 613 papers shown
Title
Towards Self-Supervised Gaze Estimation
Towards Self-Supervised Gaze Estimation
Arya Farkhondeh
Cristina Palmero
Simone Scardapane
Sergio Escalera
SSL
22
7
0
21 Mar 2022
Using the Order of Tomographic Slices as a Prior for Neural Networks
  Pre-Training
Using the Order of Tomographic Slices as a Prior for Neural Networks Pre-Training
Yaroslav Zharov
A. Ershov
T. Baumbach
Vincent Heuveline
17
0
0
17 Mar 2022
Magnification Prior: A Self-Supervised Method for Learning
  Representations on Breast Cancer Histopathological Images
Magnification Prior: A Self-Supervised Method for Learning Representations on Breast Cancer Histopathological Images
Prakash Chandra Chhipa
Richa Upadhyay
G. Pihlgren
Rajkumar Saini
Seiichi Uchida
Marcus Liwicki
SSL
MedIm
24
19
0
15 Mar 2022
SIGMA: Semantic-complete Graph Matching for Domain Adaptive Object
  Detection
SIGMA: Semantic-complete Graph Matching for Domain Adaptive Object Detection
Wuyang Li
Xinyu Liu
Yixuan Yuan
31
138
0
12 Mar 2022
On Generalizing Beyond Domains in Cross-Domain Continual Learning
On Generalizing Beyond Domains in Cross-Domain Continual Learning
Christian Simon
M. Faraki
Yi-Hsuan Tsai
Xiang Yu
S. Schulter
Yumin Suh
Mehrtash Harandi
Manmohan Chandraker
FedML
OOD
CLL
13
31
0
08 Mar 2022
HEAR: Holistic Evaluation of Audio Representations
HEAR: Holistic Evaluation of Audio Representations
Joseph P. Turian
Jordie Shier
H. Khan
Bhiksha Raj
Björn W. Schuller
...
P. Esling
Pranay Manocha
Shinji Watanabe
Zeyu Jin
Yonatan Bisk
31
99
0
06 Mar 2022
Measuring Self-Supervised Representation Quality for Downstream
  Classification using Discriminative Features
Measuring Self-Supervised Representation Quality for Downstream Classification using Discriminative Features
N. Kalibhat
Kanika Narang
Hamed Firooz
Maziar Sanjabi
S. Feizi
SSL
31
7
0
03 Mar 2022
Improved Dual Correlation Reduction Network
Improved Dual Correlation Reduction Network
Yue Liu
Sihang Zhou
Xinwang Liu
Wenxuan Tu
Xihong Yang
19
22
0
25 Feb 2022
Augment with Care: Contrastive Learning for Combinatorial Problems
Augment with Care: Contrastive Learning for Combinatorial Problems
Haonan Duan
Pashootan Vaezipoor
Max B. Paulus
Yangjun Ruan
Chris J. Maddison
SSL
11
19
0
17 Feb 2022
Vision Models Are More Robust And Fair When Pretrained On Uncurated
  Images Without Supervision
Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision
Priya Goyal
Quentin Duval
Isaac Seessel
Mathilde Caron
Ishan Misra
Levent Sagun
Armand Joulin
Piotr Bojanowski
VLM
SSL
26
110
0
16 Feb 2022
Planckian Jitter: countering the color-crippling effects of color jitter
  on self-supervised training
Planckian Jitter: countering the color-crippling effects of color jitter on self-supervised training
Simone Zini
Alex Gomez-Villa
M. Buzzelli
Bartlomiej Twardowski
Andrew D. Bagdanov
Joost van de Weijer
16
13
0
16 Feb 2022
Distillation with Contrast is All You Need for Self-Supervised Point
  Cloud Representation Learning
Distillation with Contrast is All You Need for Self-Supervised Point Cloud Representation Learning
Kexue Fu
Peng Gao
Renrui Zhang
Hongsheng Li
Yu Qiao
Manning Wang
SSL
3DPC
20
23
0
09 Feb 2022
Simple Control Baselines for Evaluating Transfer Learning
Simple Control Baselines for Evaluating Transfer Learning
Andrei Atanov
Shijian Xu
Onur Beker
Andrei Filatov
Amir Zamir
SSL
29
1
0
07 Feb 2022
Context Autoencoder for Self-Supervised Representation Learning
Context Autoencoder for Self-Supervised Representation Learning
Xiaokang Chen
Mingyu Ding
Xiaodi Wang
Ying Xin
Shentong Mo
Yunhao Wang
Shumin Han
Ping Luo
Gang Zeng
Jingdong Wang
SSL
45
386
0
07 Feb 2022
PARCEL: Physics-based Unsupervised Contrastive Representation Learning
  for Multi-coil MR Imaging
PARCEL: Physics-based Unsupervised Contrastive Representation Learning for Multi-coil MR Imaging
Shanshan Wang
Ruo-Nan Wu
Cheng Li
J. Zou
Ziyao Zhang
Qiegen Liu
Yan Xi
Hairong Zheng
SSL
12
17
0
03 Feb 2022
Neural Manifold Clustering and Embedding
Neural Manifold Clustering and Embedding
Zengyi Li
Yubei Chen
Yann LeCun
Friedrich T. Sommer
DRL
22
41
0
24 Jan 2022
Video Transformers: A Survey
Video Transformers: A Survey
Javier Selva
A. S. Johansen
Sergio Escalera
Kamal Nasrollahi
T. Moeslund
Albert Clapés
ViT
22
103
0
16 Jan 2022
Bringing Your Own View: Graph Contrastive Learning without Prefabricated
  Data Augmentations
Bringing Your Own View: Graph Contrastive Learning without Prefabricated Data Augmentations
Yuning You
Tianlong Chen
Zhangyang Wang
Yang Shen
SSL
24
61
0
04 Jan 2022
Are Large-scale Datasets Necessary for Self-Supervised Pre-training?
Are Large-scale Datasets Necessary for Self-Supervised Pre-training?
Alaaeldin El-Nouby
Gautier Izacard
Hugo Touvron
Ivan Laptev
Hervé Jégou
Edouard Grave
SSL
27
148
0
20 Dec 2021
Sparse Coding with Multi-Layer Decoders using Variance Regularization
Sparse Coding with Multi-Layer Decoders using Variance Regularization
Katrina Evtimova
Yann LeCun
BDL
OffRL
18
9
0
16 Dec 2021
High Fidelity Visualization of What Your Self-Supervised Representation
  Knows About
High Fidelity Visualization of What Your Self-Supervised Representation Knows About
Florian Bordes
Randall Balestriero
Pascal Vincent
DiffM
25
61
0
16 Dec 2021
Revisiting Consistency Regularization for Semi-Supervised Learning
Revisiting Consistency Regularization for Semi-Supervised Learning
Yue Fan
Anna Kukleva
Bernt Schiele
16
57
0
10 Dec 2021
Exploring the Equivalence of Siamese Self-Supervised Learning via A
  Unified Gradient Framework
Exploring the Equivalence of Siamese Self-Supervised Learning via A Unified Gradient Framework
Chenxin Tao
Honghui Wang
Xizhou Zhu
Jiahua Dong
S. Song
Gao Huang
Jifeng Dai
SSL
33
60
0
09 Dec 2021
Mimicking the Oracle: An Initial Phase Decorrelation Approach for Class
  Incremental Learning
Mimicking the Oracle: An Initial Phase Decorrelation Approach for Class Incremental Learning
Yujun Shi
Kuangqi Zhou
Jian Liang
Zihang Jiang
Jiashi Feng
Philip H. S. Torr
Song Bai
Vincent Y. F. Tan
CLL
26
62
0
09 Dec 2021
Self-Supervised Models are Continual Learners
Self-Supervised Models are Continual Learners
Enrico Fini
Victor G. Turrisi da Costa
Xavier Alameda-Pineda
Elisa Ricci
Alahari Karteek
Julien Mairal
BDL
CLL
SSL
33
157
0
08 Dec 2021
Joint Learning of Localized Representations from Medical Images and
  Reports
Joint Learning of Localized Representations from Medical Images and Reports
Philipp Muller
Georgios Kaissis
Cong Zou
Daniel Munich
132
81
0
06 Dec 2021
The Surprising Effectiveness of Representation Learning for Visual
  Imitation
The Surprising Effectiveness of Representation Learning for Visual Imitation
Jyothish Pari
Nur Muhammad (Mahi) Shafiullah
Sridhar Pandian Arunachalam
Lerrel Pinto
SSL
25
155
0
02 Dec 2021
MC-SSL0.0: Towards Multi-Concept Self-Supervised Learning
MC-SSL0.0: Towards Multi-Concept Self-Supervised Learning
Sara Atito
Muhammad Awais
Ammarah Farooq
Zhenhua Feng
J. Kittler
17
17
0
30 Nov 2021
Similarity Contrastive Estimation for Self-Supervised Soft Contrastive
  Learning
Similarity Contrastive Estimation for Self-Supervised Soft Contrastive Learning
J. Denize
Jaonary Rabarisoa
Astrid Orcesi
Romain Hérault
S. Canu
SSL
19
30
0
29 Nov 2021
Long-range and hierarchical language predictions in brains and
  algorithms
Long-range and hierarchical language predictions in brains and algorithms
Charlotte Caucheteux
Alexandre Gramfort
J. King
20
22
0
28 Nov 2021
A Softmax-free Loss Function Based on Predefined Optimal-distribution of
  Latent Features for Deep Learning Classifier
A Softmax-free Loss Function Based on Predefined Optimal-distribution of Latent Features for Deep Learning Classifier
Qiuyu Zhu
Xuewen Zu
22
5
0
25 Nov 2021
MIO : Mutual Information Optimization using Self-Supervised Binary Contrastive Learning
MIO : Mutual Information Optimization using Self-Supervised Binary Contrastive Learning
Siladittya Manna
Umapada Pal
Saumik Bhattacharya
SSL
35
1
0
24 Nov 2021
HoughCL: Finding Better Positive Pairs in Dense Self-supervised Learning
HoughCL: Finding Better Positive Pairs in Dense Self-supervised Learning
Yunsung Lee
Teakgyu Hong
Han-Cheol Cho
Junbum Cha
Seungryong Kim
SSL
12
0
0
21 Nov 2021
Self-Supervised Audio-Visual Representation Learning with Relaxed
  Cross-Modal Synchronicity
Self-Supervised Audio-Visual Representation Learning with Relaxed Cross-Modal Synchronicity
Pritam Sarkar
Ali Etemad
SSL
23
11
0
09 Nov 2021
Augmentations in Graph Contrastive Learning: Current Methodological
  Flaws & Towards Better Practices
Augmentations in Graph Contrastive Learning: Current Methodological Flaws & Towards Better Practices
Puja Trivedi
Ekdeep Singh Lubana
Yujun Yan
Yaoqing Yang
Danai Koutra
45
52
0
05 Nov 2021
Towards the Generalization of Contrastive Self-Supervised Learning
Towards the Generalization of Contrastive Self-Supervised Learning
Weiran Huang
Mingyang Yi
Xuyang Zhao
Zihao Jiang
SSL
21
105
0
01 Nov 2021
TLDR: Twin Learning for Dimensionality Reduction
TLDR: Twin Learning for Dimensionality Reduction
Yannis Kalantidis
Carlos Lassance
Jon Almazán
Diane Larlus
SSL
16
10
0
18 Oct 2021
Understanding Dimensional Collapse in Contrastive Self-supervised
  Learning
Understanding Dimensional Collapse in Contrastive Self-supervised Learning
Li Jing
Pascal Vincent
Yann LeCun
Yuandong Tian
SSL
25
336
0
18 Oct 2021
Self-Supervised Learning by Estimating Twin Class Distributions
Self-Supervised Learning by Estimating Twin Class Distributions
Feng Wang
Tao Kong
Rufeng Zhang
Huaping Liu
Hang Li
SSL
55
16
0
14 Oct 2021
Decoupled Contrastive Learning
Decoupled Contrastive Learning
Chun-Hsiao Yeh
Cheng-Yao Hong
Yen-Chi Hsu
Tyng-Luh Liu
Yubei Chen
Yann LeCun
178
182
0
13 Oct 2021
Towards Demystifying Representation Learning with Non-contrastive
  Self-supervision
Towards Demystifying Representation Learning with Non-contrastive Self-supervision
Xiang Wang
Xinlei Chen
S. Du
Yuandong Tian
SSL
21
26
0
11 Oct 2021
Evaluating the fairness of fine-tuning strategies in self-supervised
  learning
Evaluating the fairness of fine-tuning strategies in self-supervised learning
Jason Ramapuram
Dan Busbridge
Russ Webb
21
6
0
01 Oct 2021
Pointly-supervised 3D Scene Parsing with Viewpoint Bottleneck
Pointly-supervised 3D Scene Parsing with Viewpoint Bottleneck
Liyi Luo
Beiwen Tian
Hao Zhao
Guyue Zhou
3DPC
24
9
0
17 Sep 2021
Deep Bregman Divergence for Contrastive Learning of Visual
  Representations
Deep Bregman Divergence for Contrastive Learning of Visual Representations
Mina Rezaei
Farzin Soleymani
B. Bischl
Shekoofeh Azizi
SSL
50
16
0
15 Sep 2021
An Empirical Study of Graph Contrastive Learning
An Empirical Study of Graph Contrastive Learning
Yanqiao Zhu
Yichen Xu
Qiang Liu
Shu Wu
11
167
0
02 Sep 2021
Computer Vision Self-supervised Learning Methods on Time Series
Computer Vision Self-supervised Learning Methods on Time Series
Daesoo Lee
Technology
AI4TS
31
4
0
02 Sep 2021
Jointly Learnable Data Augmentations for Self-Supervised GNNs
Jointly Learnable Data Augmentations for Self-Supervised GNNs
Zekarias T. Kefato
Sarunas Girdzijauskas
Hannes Stärk
SSL
25
4
0
23 Aug 2021
AASAE: Augmentation-Augmented Stochastic Autoencoders
AASAE: Augmentation-Augmented Stochastic Autoencoders
William Falcon
A. Jha
Teddy Koker
Kyunghyun Cho
13
0
0
26 Jul 2021
Trip-ROMA: Self-Supervised Learning with Triplets and Random Mappings
Trip-ROMA: Self-Supervised Learning with Triplets and Random Mappings
Wenbin Li
Xuesong Yang
Meihao Kong
Lei Wang
Jing Huo
Yang Gao
Jiebo Luo
13
0
0
22 Jul 2021
SoftHebb: Bayesian Inference in Unsupervised Hebbian Soft
  Winner-Take-All Networks
SoftHebb: Bayesian Inference in Unsupervised Hebbian Soft Winner-Take-All Networks
Timoleon Moraitis
Dmitry Toichkin
Adrien Journé
Yansong Chua
Qinghai Guo
AAML
BDL
68
28
0
12 Jul 2021
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